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SDSC > User Support > Compute and Data Resource Guides

SDSC Resources

SDSC provides and supports a wide range of computing and data resources for the research community. These resources are available for use by the University of California researchers, to academic researchers in the U.S, and to industry affiliates.

Gordon

A 1024-node resource with 64 TB DRAM, 256 TB of flash memory, and 4 PB disk storage. Gordon incorporates flash memory into its architecture, allowing it to solve data-intensive problems up to ten times faster. One of the XSEDE national systems resources, it entered production in March 2012. Gordon User Guide

Trestles

Another XSEDE resource, with a theoretical peak speed of 100 TF, contains 324 nodes, each with four 8-core Magny core processors and 64GB of memory. Trestles also incorporates 120 GB of local flash storage on every node. This resource is targeted towards XSEDE users requiring 1024 cores or fewer and long running jobs (up to multiple weeks). Trestles is for XSEDE users only. Trestles User Guide

TSCC

UCSD's Triton Shared Computing Cluster is the successor to the UCSD Triton Resource. Unlike its predecessor, TSCC is funded directy through the UCSD Research Cyberinfrastructure project. This cluster uses a condo/hotel participation model with nodes available for purchase or rent. TSCC User Guide

Sierra

SDSC is a resource partner in the FutureGrid project (also part of XSEDE), which provides a high-performance grid test bed that will allow scientists to collaboratively develop and test innovative approaches to parallel, grid, and cloud computing. SDSC hosts the Sierra resource, which has 7 teraflops of compute power, 96 terabytes of raw storage, and is connected to the FutureGrid network via a 10GB link. Sierra provides cloud environments (such as Eucalyptus and Nimbus) and supports HPC applications running on the "bare metal." Users interested in running stand-alone or distributed experiments on Sierra and other FutureGrid machines may apply for allocations through FutureGridSierra User Guide

Retired Resources (Compute, Data, Software)

A number of powerful and productive research resources have been replaced by newer, more powerful and productive systems over the years. Retired SDSC Resources


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